This project uses a Random Forest model to predict electricity prices (SMPEP2) from environmental, market, and time-series data. Through data cleaning, feature engineering, and cross-validation, we developed a robust model that achieved an R-squared of over 0.61, providing a reliable forecast.
☆44Sep 23, 2025Updated 6 months ago
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